| Summary: | 博士 === 國立中央大學 === 土木工程學系 === 102 === As a result of increased road occupancy demands, the need for improved standards of pavement engineering has become apparent in recent years. However, the upgrading of road maintenance and management methods involves complex management. The use of a management system for the execution of road maintenance and to make strategic decisions is the current trend for maintenance engineers. This study uses information obtained from the system database for the New Construction Offices of the Taipei City Government. Analysis of road sections must be performed in accordance with the road-smoothing project. First, we base our analysis on information from the International Roughness Index (IRI), known the situation in Taipei city, followed by discussion of road deterioration trends and determination of the conservation threshold using regression analysis and the Artificial Neural Network (ANN) method. After addition, the urban traffic flow value are used in a discussion of the density of traffic and its relationship with the IRI index. A strategy for road maintenance is then proposed based on the survey results. For example, recycled materials from Taipei’s roads could be used for future road-smoothing projects as part of engineering lifecycle management.
Analysis of this engineering management system (EMS) is carried out using data mining methods for classification and association in order to find the hidden samples and unknown information. The extracted information is presented as a formal concept lattice, followed by a formal concept analysis (FCA). Through concept lattices we can know which knowledge is more important and what the road damage ratio for Taipei’s roads is. The goal of this study is to create a knowledge database using Ontology's Conceptualization, Shared, Formal and Explicit properties to create a Semantic Web to integrate the current engineering systems and upgrade the usability of these system. Finally we design an interactive interface for spatial property investigation and later carry out a case study with the proposed system and knowledge database which should benefit engineers, domain experts and lead to a multiple web-based GI service in the future.
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